Evidence map›Paper›PMID 26198131›Full record

ArticleComputer methods and programs in biomedicine2015

Investigation of factors affecting hypothermic pelvic tissue cooling using bio-heat simulation based on MRI-segmented anatomic models.

Yuting Lin, Wei-Ching Lin, Peter T Fwu, Tzu-Ching Shih, Lee-Ren Yeh, Min-Ying Su, Jeon-Hor Chen

Abstract read
In one paragraph

Article in Computer methods and programs in biomedicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 32% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Yuting LinTu and Yuen Center for Functional Onco-Imaging of Department of Radiological Sciences, University of California, Irvine, CA 92697, USA.
Wei-Ching LinDepartment of Radiology, China Medical University Hospital, Taichung 40402, Taiwan.
Peter T FwuTu and Yuen Center for Functional Onco-Imaging of Department of Radiological Sciences, University of California, Irvine, CA 92697, USA.
Tzu-Ching ShihDepartment of Biomedical Imaging and Radiological Science, China Medical University, Taichung 40402, Taiwan.
Lee-Ren YehDepartment of Radiology, E-Da Hospital and I-Shou University, Kaohsiung 82445, Taiwan.
Min-Ying SuTu and Yuen Center for Functional Onco-Imaging of Department of Radiological Sciences, University of California, Irvine, CA 92697, USA.
Jeon-Hor ChenTu and Yuen Center for Functional Onco-Imaging of Department of Radiological Sciences, University of California, Irvine, CA 92697, USA; Department of Radiology, E-Da Hospital and I-Shou University, Kaohsiung 82445, Taiwan. Electronic address: jeonhc@uci.edu.
University of California, Irvine · USChina Medical University · TWE-Da Hospital · TW

Funding

Univ.of Calif., Irvine Cancer Center Support GrantP30CA062203 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Christine Hui · 1994 to 2026
$57.9M
University of California Health Participation in the National COVID Cohort Collaborative (N3C)UL1TR001414 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M, VILAIN, ERIC J. · 2015 to 2023
$35.1M
Prediction of Neoadjuvant Chemo Pathological Response Using MRI MarkersR01CA127927 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI SU, MIN-YING L. · 2008 to 2017
$5.0M
Tomographic Molecular Imaging for Breast CancerR01EB008716 · NIBIB · UNIVERSITY OF CALIFORNIA-IRVINE · PI GULSEN, GULTEKIN · 2008 to 2011
$1.3M
Volume and Morphology of Fibroglandular Tissue for Breast Cancer Risk PredictionR21CA170955 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI CHEN, JEON-HOR, SU, MIN-YING L. · 2013 to 2014
$363k
NCATS NIH HHS UL1 TR001414NCI NIH HHS P30 CA062203NCI NIH HHS R01 CA127927NCI NIH HHS R01CA127927NCI NIH HHS R21 CA170955NIBIB NIH HHS R01 EB008716NIBIB NIH HHS R01EB008716
6 · The paper itself

Abstract

This study applied a simulation method to map the temperature distribution based on magnetic resonance imaging (MRI) of individual patients, and investigated the influence of different pelvic tissue types as well as the choice of thermal property parameters on the efficiency of endorectal cooling balloon (ECB). MR images of four subjects with different prostate sizes and pelvic tissue compositions, including fatty tissue and venous plexus, were analyzed. The MR images acquired using endorectal coil provided a realistic geometry of deformed prostate that resembled the anatomy in the presence of ECB. A single slice with the largest two-dimensional (2D) cross-sectional area of the prostate gland was selected for analysis. The rectal wall, prostate gland, peri-rectal fatty tissue, peri-prostatic fatty tissue, peri-prostatic venous plexus, and urinary bladder were manually segmented. Pennes' bioheat thermal model was used to simulate the temperature distribution dynamics, by using an in-house finite element mesh based solver written in MATLAB. The results showed that prostate size and periprostatic venous plexus were two major factors affecting ECB cooling efficiency. For cases with negligible amount of venous plexus and small prostate, the average temperature in the prostate and neurovascular bundles could be cooled down to 25 °C within 30 min. For cases with abundant venous plexus and large prostate, the temperature could not reach 25 °C at the end of 3 h cooling. Large prostate made the cooling difficult to propagate through. The impact of fatty tissue on cooling effect was small. The filling of bladder with warm urine during the ECB cooling procedure did not affect the temperature in the prostate or NVB. In addition to the 2D simulation, in one case a 3D pelvic model was constructed for volumetric simulation. It was found that the 2D slice with the largest cross-sectional area of prostate had the most abundant venous plexus, and was the most difficult slice to cool, thus it may provide a conservative prediction of the cooling effect. This feasibility study demonstrated that the simulation tool could potentially be used for adjusting the setting of ECB for individual patients during hypothermic radical prostatectomy. Further studies using MR thermometry are required to validate the in silico results obtained using simulation.

Indexed as

Hypothermia, InducedModels, AnatomicPelvisHumansMagnetic Resonance ImagingMaleProstateProstatectomyUrinary BladderEndorectal cooling balloonMagnetic resonance imagingNeurovascular bundleProstate

Identifiers

PMID26198131
PMCPMC4549219
OpenAlexW2155155647

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.